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deep-embedded-clustering

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This model implements an automated pipeline for face detection, embedding generation, and clustering using deep learning and unsupervised machine learning techniques. The model utilizes MTCNN (Multi-task Cascaded Convolutional Neural Networks) for face detection, and InceptionResNetV1

  • Updated Dec 30, 2024
  • Jupyter Notebook

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